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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 21862
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    Explanations

    colors or color-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to colors and humor

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OHN
    -0.72
    stein
    -0.70
     Roosevelt
    -0.68
     Gott
    -0.66
    ilk
    -0.66
     Georgetown
    -0.66
    Shot
    -0.65
    HOME
    -0.65
    ital
    -0.65
    lay
    -0.64
    POSITIVE LOGITS
    elaide
    1.05
     Whilst
    1.03
     flavours
    1.00
     analyse
    0.95
    colour
    0.95
     defences
    0.92
     programmes
    0.91
     colour
    0.90
     colours
    0.89
     paran
    0.89
    Activations Density 0.066%

    No Known Activations